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Training Principle-Based Self-Explanations: Transfer to New Learning Contents.

, , , and . CogSci, cognitivesciencesociety.org, (2013)

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Active Learning in Technology-Enhanced Environments: On Sensible and Less Sensible Conceptions of Äctive" and Their Instructional Consequences.. Intelligent Tutoring Systems (1), volume 6094 of Lecture Notes in Computer Science, page 3. Springer, (2010)Are high-coherent concept maps better for prior knowledge activation? Differential effects of concept mapping tasks on high school vs. university students., and . J. Comput. Assist. Learn., 24 (5): 407-419 (2008)Adjunct aids and signals support online learning from multiple representations., , , , and . J. Comput. Assist. Learn., 37 (1): 172-182 (2021)Learning how to use a computer-based concept-mapping tool: Self-explaining examples helps., and . Comput. Hum. Behav., 25 (2): 267-274 (2009)Supporting Concept Mapping for Learning from Text., , and . ICLS, International Society of the Learning Sciences, (2006)Short-term versus long-term effects of cognitive and metacognitive prompts in writing-to-learn., , and . ICLS (2), page 124-131. International Society of the Learning Sciences, (2008)Pictorial illustrations in intelligent tutoring systems: do they distract or elicit interest and engagement?, , , , and . ICLS (1), page 1-8. International Society of the Learning Sciences / ACM DL, (2010)A Non-Verbal Pre-Training Based on Eye Movements to Foster Comprehension of Static and Dynamic Learning Environments., and . CogSci, cognitivesciencesociety.org, (2014)The worked-example effect: Not an artefact of lousy control conditions., , , , , and . Comput. Hum. Behav., 25 (2): 258-266 (2009)Worked Examples and Tutored Problem Solving: Redundant or Synergistic Forms of Support?, , , and . Top. Cogn. Sci., 1 (1): 203-213 (2009)